| 电可调滤光器光谱图像特征波长的提取方法 |
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| 引用本文： | 汪希伟,赵茂程,居荣华. 电可调滤光器光谱图像特征波长的提取方法[J]. 南京林业大学学报(自然科学版), 2014, 57(2): 137. DOI: 10.3969/j.issn.1000-2006.2014.02.026 |
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| 作者姓名： | 汪希伟 赵茂程 居荣华 |
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| 作者单位： | 1.南京林业大学机械电子工程学院,江苏 南京 210037; 2.南京食品包装机械研究所,江苏 南京 210029 |
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| 基金项目： | 收稿日期:2013-04-15 修回日期:2013-08-18基金项目:江苏省科技支撑计划(BE2011396); 高等学校博士学科点科研基金资助项目(20103204110006); 江苏省研究生创新工程项目(2011039) 第一作者:汪希伟,博士生。*通信作者:赵茂程,教授。E-mail: mczhao@njfu.edu.cn。引文格式:汪希伟,赵茂程,居荣华. 电可调滤光器光谱图像特征波长的提取方法[J]. 南京林业大学学报:自然科学版,2014,38(2):1 |
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| 摘 要： | 根据电可调滤光器光谱特性,以偏最小二乘回归建模为基础,提出了使用波长贡献度初选后进行全组合特征波长提取的方法,并利用基于声光可调滤光器所采集的猪肉光谱图像及其所对应的挥发性盐基氮含量化学指标,对该特征光谱提取方法的性能进行测试验证。结果表明,该算法能够有效确定由电可调滤光器获取的光谱图像的特征波长。
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Extraction of the characteristic wavelengths of the spectral images acquired by electronically tunable filters |
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| Abstract: | An algorithm was proposed for the characteristic of the important wavelengths of the spectral images acquired by electronically tunable filters. The optimal wavelengths are determined by electing the candidates according to the wavelength-specific contributions based on a valid PLSR model firstly, and then followed by an exhaustive analysis of the combinations of the candidate wavelengths. The performance of the algorithm was tested using the spectral images of fresh pork acquired by an acousto-optical tunable filter-based spectral imager and the corresponding chemical indices of total volatile basic nitrogen. The results showed that the proposed algorithm could determine effectively the characteristic wavelengths of the spectral images acquired by electronically tunable filters. |
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